Software Engineer, Robotics Tracking and Fusion

Highlights

• Build real-time tracking and multi-sensor fusion for Lattice OS command center.
• Prototype state-of-the-art estimators that turn noisy sensor data into insights.
• Deliver autonomy and AI that transforms allied military capabilities in months.

Ideal candidate

Mission-driven engineer who thrives in small agile teams and turns ambiguous real-world problems into deployed autonomy. You care about rigorous validation and translating complex estimation into mission impact for defense.

Requirements

• Proficiency in algorithm design, software development, and statistical modeling with programming expertise in C/C++, Python, and Matlab.
• Strong knowledge of target tracking techniques, such as Kalman filters, particle filters, and multi-target tracking algorithms (e.g., JPDA, MHT, or PHD filters).
• Experience in state estimation, including Bayesian filtering, sensor fusion, and recursive estimation techniques.
• Solid understanding of applied mathematics, including linear algebra, optimization, probability, and stochastic processes.
• Knowledge of signal processing techniques for interpreting diverse sensor data (e.g., radar, lidar, EO/IR).
• Familiarity with big data pipelines, NoSQL databases, and the efficient handling of large-scale sensor data.
• Background in machine learning as applied to target tracking and recognition, including clustering, classification, and anomaly detection techniques.
• Ability to engineer robust systems for estimation theory, adaptive filtering, controls, and complex signal environments.
• Demonstrated ability to work across development lifecycles, from prototyping to optimizing production systems.
• Eligible to obtain and maintain an active U.S. Top Secret security clearance.